Developing guideline-based decision support systems using protégé and jess
Copyright policy )Developing guideline-based decision support systems using protégé and jess
The Institute of Medicine has identified both computerized physician order entry and electronic prescription as keys to reducing medication errors and improving safety. Many computerized clinical decision support systems can enhance practitioner performance. However, the development of such systems involves a long cycle time that makes it difficult to apply them on a wider scale. This paper presents a suite of guideline modeling and execution tools, built on Protégé, Jess and Java technologies, which are easy to use, and also capable of automatically synthesizing clinical decision support systems for clinical practice guidelines of moderate complexity.
Artificial intelligence, decision support system, medication error, Guidelines as Topic, Decision support systems, Clinical decision support system, computerized provider order entry, Clinical, Electronic Prescribing, Medication errors, Computerized physician order entry, Physicians, Protégé, Clinical practice guideline, Moderate complexity, Order entry, electronic prescribing, Medical Errors, practice guideline, Clinical decision support systems, article, Java programming language, 15, Java technologies, Long cycles, Decision Support Systems, Clinical, Jess, Clinical practice guidelines, Decision making, Medical applications, Software
Artificial intelligence, decision support system, medication error, Guidelines as Topic, Decision support systems, Clinical decision support system, computerized provider order entry, Clinical, Electronic Prescribing, Medication errors, Computerized physician order entry, Physicians, Protégé, Clinical practice guideline, Moderate complexity, Order entry, electronic prescribing, Medical Errors, practice guideline, Clinical decision support systems, article, Java programming language, 15, Java technologies, Long cycles, Decision Support Systems, Clinical, Jess, Clinical practice guidelines, Decision making, Medical applications, Software
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